Overview
Brought to you by YData
Dataset statistics
| Number of variables | 15 |
|---|---|
| Number of observations | 660 |
| Missing cells | 34 |
| Missing cells (%) | 0.3% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 77.5 KiB |
| Average record size in memory | 120.2 B |
Variable types
| Categorical | 3 |
|---|---|
| Text | 2 |
| Numeric | 10 |
Country is highly overall correlated with League | High correlation |
Goals is highly overall correlated with Matches_Played and 4 other fields | High correlation |
League is highly overall correlated with Country | High correlation |
Matches_Played is highly overall correlated with Goals and 4 other fields | High correlation |
Mins is highly overall correlated with Goals and 4 other fields | High correlation |
On Target Per Avg Match is highly overall correlated with Shots Per Avg Match and 1 other fields | High correlation |
OnTarget is highly overall correlated with Goals and 4 other fields | High correlation |
Shots is highly overall correlated with Goals and 4 other fields | High correlation |
Shots Per Avg Match is highly overall correlated with On Target Per Avg Match and 1 other fields | High correlation |
xG is highly overall correlated with Goals and 4 other fields | High correlation |
xG Per Avg Match is highly overall correlated with On Target Per Avg Match and 1 other fields | High correlation |
Club has 34 (5.2%) missing values | Missing |
Substitution has 169 (25.6%) zeros | Zeros |
Reproduction
| Analysis started | 2025-04-14 13:12:17.710916 |
|---|---|
| Analysis finished | 2025-04-14 13:12:26.866291 |
| Duration | 9.16 seconds |
| Software version | ydata-profiling vv4.16.1 |
| Download configuration | config.json |
Variables
Country
Categorical
High correlation
| Distinct | 9 |
|---|---|
| Distinct (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.3 KiB |
| Spain | |
|---|---|
| Italy | |
| Germany | |
| Brazil | |
| England | |
| Other values (4) |
Length
| Max length | 12 |
|---|---|
| Median length | 9 |
| Mean length | 6.3333333 |
| Min length | 3 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Spain |
|---|---|
| 2nd row | Spain |
| 3rd row | Spain |
| 4th row | Spain |
| 5th row | Spain |
Common Values
| Value | Count | Frequency (%) |
| Spain | 100 | |
| Italy | 100 | |
| Germany | 100 | |
| Brazil | 100 | |
| England | 80 | |
| France | 60 | |
| USA | 40 | 6.1% |
| Portugal | 40 | 6.1% |
| Netherlands | 40 | 6.1% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| spain | 100 | |
| italy | 100 | |
| germany | 100 | |
| brazil | 100 | |
| england | 80 | |
| france | 60 | |
| usa | 40 | 6.1% |
| portugal | 40 | 6.1% |
| netherlands | 40 | 6.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 620 | |
| n | 460 | 11.0% |
| l | 360 | 8.6% |
| r | 340 | 8.1% |
| e | 240 | 5.7% |
| i | 200 | 4.8% |
| y | 200 | 4.8% |
| t | 180 | 4.3% |
| S | 140 | 3.3% |
| d | 120 | 2.9% |
| Other values (19) | 1320 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 4180 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| a | 620 | |
| n | 460 | 11.0% |
| l | 360 | 8.6% |
| r | 340 | 8.1% |
| e | 240 | 5.7% |
| i | 200 | 4.8% |
| y | 200 | 4.8% |
| t | 180 | 4.3% |
| S | 140 | 3.3% |
| d | 120 | 2.9% |
| Other values (19) | 1320 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 4180 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| a | 620 | |
| n | 460 | 11.0% |
| l | 360 | 8.6% |
| r | 340 | 8.1% |
| e | 240 | 5.7% |
| i | 200 | 4.8% |
| y | 200 | 4.8% |
| t | 180 | 4.3% |
| S | 140 | 3.3% |
| d | 120 | 2.9% |
| Other values (19) | 1320 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 4180 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| a | 620 | |
| n | 460 | 11.0% |
| l | 360 | 8.6% |
| r | 340 | 8.1% |
| e | 240 | 5.7% |
| i | 200 | 4.8% |
| y | 200 | 4.8% |
| t | 180 | 4.3% |
| S | 140 | 3.3% |
| d | 120 | 2.9% |
| Other values (19) | 1320 |
League
Categorical
High correlation
| Distinct | 28 |
|---|---|
| Distinct (%) | 4.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.3 KiB |
| La Liga | |
|---|---|
| Bundesliga | |
| Campeonato Brasileiro Série A | |
| Serie A | |
| Premier League | |
| Other values (23) |
Length
| Max length | 30 |
|---|---|
| Median length | 15 |
| Mean length | 12.777273 |
| Min length | 3 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | La Liga |
|---|---|
| 2nd row | La Liga |
| 3rd row | La Liga |
| 4th row | La Liga |
| 5th row | La Liga |
Common Values
| Value | Count | Frequency (%) |
| La Liga | 100 | |
| Bundesliga | 100 | |
| Campeonato Brasileiro Série A | 100 | |
| Serie A | 100 | |
| Premier League | 80 | |
| Primeira Liga | 40 | 6.1% |
| MLS | 40 | 6.1% |
| Eredivisie | 40 | 6.1% |
| France Ligue 2 | 3 | 0.5% |
| France Ligue 1 | 3 | 0.5% |
| Other values (18) | 54 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| a | 200 | |
| liga | 140 | |
| la | 100 | 7.1% |
| bundesliga | 100 | 7.1% |
| campeonato | 100 | 7.1% |
| brasileiro | 100 | 7.1% |
| sã©rie | 100 | 7.1% |
| serie | 100 | 7.1% |
| premier | 80 | 5.7% |
| league | 80 | 5.7% |
| Other values (25) | 300 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 1160 | |
| i | 980 | |
| a | 820 | 9.7% |
| 740 | 8.8% | |
| r | 740 | 8.8% |
| L | 420 | 5.0% |
| g | 380 | 4.5% |
| o | 300 | 3.6% |
| n | 260 | 3.1% |
| u | 240 | 2.8% |
| Other values (28) | 2393 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 8433 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| e | 1160 | |
| i | 980 | |
| a | 820 | 9.7% |
| 740 | 8.8% | |
| r | 740 | 8.8% |
| L | 420 | 5.0% |
| g | 380 | 4.5% |
| o | 300 | 3.6% |
| n | 260 | 3.1% |
| u | 240 | 2.8% |
| Other values (28) | 2393 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 8433 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| e | 1160 | |
| i | 980 | |
| a | 820 | 9.7% |
| 740 | 8.8% | |
| r | 740 | 8.8% |
| L | 420 | 5.0% |
| g | 380 | 4.5% |
| o | 300 | 3.6% |
| n | 260 | 3.1% |
| u | 240 | 2.8% |
| Other values (28) | 2393 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 8433 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| e | 1160 | |
| i | 980 | |
| a | 820 | 9.7% |
| 740 | 8.8% | |
| r | 740 | 8.8% |
| L | 420 | 5.0% |
| g | 380 | 4.5% |
| o | 300 | 3.6% |
| n | 260 | 3.1% |
| u | 240 | 2.8% |
| Other values (28) | 2393 |
Club
Text
Missing
| Distinct | 179 |
|---|---|
| Distinct (%) | 28.6% |
| Missing | 34 |
| Missing (%) | 5.2% |
| Memory size | 5.3 KiB |
Length
| Max length | 29 |
|---|---|
| Median length | 5 |
| Mean length | 5.0527157 |
| Min length | 3 |
Unique
| Unique | 64 ? |
|---|---|
| Unique (%) | 10.2% |
Sample
| 1st row | (BET) |
|---|---|
| 2nd row | (BAR) |
| 3rd row | (ATL) |
| 4th row | (CAR) |
| 5th row | (VAL) |
| Value | Count | Frequency (%) |
| psg | 14 | 2.2% |
| nap | 13 | 2.1% |
| bar | 13 | 2.1% |
| rma | 11 | 1.7% |
| soc | 11 | 1.7% |
| ata | 11 | 1.7% |
| fla | 11 | 1.7% |
| tot | 11 | 1.7% |
| liv | 10 | 1.6% |
| mnc | 10 | 1.6% |
| Other values (173) | 516 |
Most occurring characters
| Value | Count | Frequency (%) |
| ( | 616 | |
| ) | 616 | |
| A | 238 | 7.5% |
| R | 138 | 4.4% |
| L | 130 | 4.1% |
| S | 122 | 3.9% |
| O | 120 | 3.8% |
| E | 118 | 3.7% |
| C | 107 | 3.4% |
| M | 92 | 2.9% |
| Other values (35) | 866 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 3163 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| ( | 616 | |
| ) | 616 | |
| A | 238 | 7.5% |
| R | 138 | 4.4% |
| L | 130 | 4.1% |
| S | 122 | 3.9% |
| O | 120 | 3.8% |
| E | 118 | 3.7% |
| C | 107 | 3.4% |
| M | 92 | 2.9% |
| Other values (35) | 866 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 3163 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| ( | 616 | |
| ) | 616 | |
| A | 238 | 7.5% |
| R | 138 | 4.4% |
| L | 130 | 4.1% |
| S | 122 | 3.9% |
| O | 120 | 3.8% |
| E | 118 | 3.7% |
| C | 107 | 3.4% |
| M | 92 | 2.9% |
| Other values (35) | 866 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 3163 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| ( | 616 | |
| ) | 616 | |
| A | 238 | 7.5% |
| R | 138 | 4.4% |
| L | 130 | 4.1% |
| S | 122 | 3.9% |
| O | 120 | 3.8% |
| E | 118 | 3.7% |
| C | 107 | 3.4% |
| M | 92 | 2.9% |
| Other values (35) | 866 |
Player Names
Text
| Distinct | 444 |
|---|---|
| Distinct (%) | 67.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.3 KiB |
Length
| Max length | 25 |
|---|---|
| Median length | 21 |
| Mean length | 12.762121 |
| Min length | 2 |
Unique
| Unique | 317 ? |
|---|---|
| Unique (%) | 48.0% |
Sample
| 1st row | Juanmi Callejon |
|---|---|
| 2nd row | Antoine Griezmann |
| 3rd row | Luis Suarez |
| 4th row | Ruben Castro |
| 5th row | Kevin Gameiro |
| Value | Count | Frequency (%) |
| diego | 9 | 0.7% |
| bruno | 9 | 0.7% |
| kevin | 8 | 0.6% |
| luis | 8 | 0.6% |
| carlos | 8 | 0.6% |
| raul | 7 | 0.6% |
| fabio | 7 | 0.6% |
| iago | 7 | 0.6% |
| andrea | 7 | 0.6% |
| de | 7 | 0.6% |
| Other values (698) | 1173 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 834 | 9.9% |
| e | 765 | 9.1% |
| 679 | 8.1% | |
| i | 625 | 7.4% |
| o | 587 | 7.0% |
| r | 577 | 6.9% |
| n | 545 | 6.5% |
| l | 373 | 4.4% |
| s | 308 | 3.7% |
| u | 262 | 3.1% |
| Other values (48) | 2868 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 8423 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| a | 834 | 9.9% |
| e | 765 | 9.1% |
| 679 | 8.1% | |
| i | 625 | 7.4% |
| o | 587 | 7.0% |
| r | 577 | 6.9% |
| n | 545 | 6.5% |
| l | 373 | 4.4% |
| s | 308 | 3.7% |
| u | 262 | 3.1% |
| Other values (48) | 2868 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 8423 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| a | 834 | 9.9% |
| e | 765 | 9.1% |
| 679 | 8.1% | |
| i | 625 | 7.4% |
| o | 587 | 7.0% |
| r | 577 | 6.9% |
| n | 545 | 6.5% |
| l | 373 | 4.4% |
| s | 308 | 3.7% |
| u | 262 | 3.1% |
| Other values (48) | 2868 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 8423 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| a | 834 | 9.9% |
| e | 765 | 9.1% |
| 679 | 8.1% | |
| i | 625 | 7.4% |
| o | 587 | 7.0% |
| r | 577 | 6.9% |
| n | 545 | 6.5% |
| l | 373 | 4.4% |
| s | 308 | 3.7% |
| u | 262 | 3.1% |
| Other values (48) | 2868 |
Matches_Played
Real number (ℝ)
High correlation
| Distinct | 37 |
|---|---|
| Distinct (%) | 5.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 22.371212 |
| Minimum | 2 |
|---|---|
| Maximum | 38 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.3 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 6 |
| Q1 | 14 |
| median | 24 |
| Q3 | 31 |
| 95-th percentile | 36 |
| Maximum | 38 |
| Range | 36 |
| Interquartile range (IQR) | 17 |
Descriptive statistics
| Standard deviation | 9.7546575 |
|---|---|
| Coefficient of variation (CV) | 0.43603616 |
| Kurtosis | -1.1303255 |
| Mean | 22.371212 |
| Median Absolute Deviation (MAD) | 7 |
| Skewness | -0.36923941 |
| Sum | 14765 |
| Variance | 95.153343 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=37)
| Value | Count | Frequency (%) |
| 31 | 32 | 4.8% |
| 9 | 32 | 4.8% |
| 32 | 30 | 4.5% |
| 29 | 30 | 4.5% |
| 23 | 30 | 4.5% |
| 33 | 29 | 4.4% |
| 26 | 28 | 4.2% |
| 10 | 26 | 3.9% |
| 24 | 26 | 3.9% |
| 27 | 25 | 3.8% |
| Other values (27) | 372 |
| Value | Count | Frequency (%) |
| 2 | 1 | 0.2% |
| 3 | 5 | 0.8% |
| 4 | 3 | 0.5% |
| 5 | 6 | 0.9% |
| 6 | 24 | |
| 7 | 22 | |
| 8 | 24 | |
| 9 | 32 | |
| 10 | 26 | |
| 11 | 12 | 1.8% |
| Value | Count | Frequency (%) |
| 38 | 4 | 0.6% |
| 37 | 13 | |
| 36 | 17 | |
| 35 | 24 | |
| 34 | 21 | |
| 33 | 29 | |
| 32 | 30 | |
| 31 | 32 | |
| 30 | 24 | |
| 29 | 30 |
Substitution
Real number (ℝ)
Zeros
| Distinct | 21 |
|---|---|
| Distinct (%) | 3.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.2242424 |
| Minimum | 0 |
|---|---|
| Maximum | 26 |
| Zeros | 169 |
| Zeros (%) | 25.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 2 |
| Q3 | 5 |
| 95-th percentile | 11 |
| Maximum | 26 |
| Range | 26 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 3.8394984 |
|---|---|
| Coefficient of variation (CV) | 1.1908219 |
| Kurtosis | 4.8963123 |
| Mean | 3.2242424 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 1.9221552 |
| Sum | 2128 |
| Variance | 14.741748 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=21)
| Value | Count | Frequency (%) |
| 0 | 169 | |
| 1 | 130 | |
| 2 | 80 | |
| 3 | 65 | 9.8% |
| 5 | 43 | 6.5% |
| 4 | 35 | 5.3% |
| 6 | 34 | 5.2% |
| 7 | 21 | 3.2% |
| 8 | 20 | 3.0% |
| 10 | 13 | 2.0% |
| Other values (11) | 50 | 7.6% |
| Value | Count | Frequency (%) |
| 0 | 169 | |
| 1 | 130 | |
| 2 | 80 | |
| 3 | 65 | 9.8% |
| 4 | 35 | 5.3% |
| 5 | 43 | 6.5% |
| 6 | 34 | 5.2% |
| 7 | 21 | 3.2% |
| 8 | 20 | 3.0% |
| 9 | 10 | 1.5% |
| Value | Count | Frequency (%) |
| 26 | 1 | 0.2% |
| 23 | 2 | 0.3% |
| 18 | 3 | 0.5% |
| 17 | 1 | 0.2% |
| 16 | 1 | 0.2% |
| 15 | 5 | |
| 14 | 2 | 0.3% |
| 13 | 5 | |
| 12 | 10 | |
| 11 | 10 |
Mins
Real number (ℝ)
High correlation
| Distinct | 583 |
|---|---|
| Distinct (%) | 88.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2071.4167 |
| Minimum | 264 |
|---|---|
| Maximum | 4177 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.3 KiB |
Quantile statistics
| Minimum | 264 |
|---|---|
| 5-th percentile | 574.95 |
| Q1 | 1363.5 |
| median | 2245.5 |
| Q3 | 2822 |
| 95-th percentile | 3271.25 |
| Maximum | 4177 |
| Range | 3913 |
| Interquartile range (IQR) | 1458.5 |
Descriptive statistics
| Standard deviation | 900.59505 |
|---|---|
| Coefficient of variation (CV) | 0.43477252 |
| Kurtosis | -1.0524114 |
| Mean | 2071.4167 |
| Median Absolute Deviation (MAD) | 659 |
| Skewness | -0.35736066 |
| Sum | 1367135 |
| Variance | 811071.44 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 3115 | 3 | 0.5% |
| 2312 | 3 | 0.5% |
| 872 | 3 | 0.5% |
| 669 | 3 | 0.5% |
| 567 | 3 | 0.5% |
| 822 | 3 | 0.5% |
| 903 | 3 | 0.5% |
| 1786 | 2 | 0.3% |
| 2822 | 2 | 0.3% |
| 3236 | 2 | 0.3% |
| Other values (573) | 633 |
| Value | Count | Frequency (%) |
| 264 | 1 | |
| 280 | 1 | |
| 293 | 1 | |
| 337 | 1 | |
| 356 | 1 | |
| 387 | 1 | |
| 396 | 1 | |
| 397 | 1 | |
| 451 | 1 | |
| 452 | 1 |
| Value | Count | Frequency (%) |
| 4177 | 1 | |
| 3931 | 1 | |
| 3651 | 1 | |
| 3641 | 1 | |
| 3555 | 1 | |
| 3533 | 2 | |
| 3511 | 1 | |
| 3491 | 1 | |
| 3474 | 1 | |
| 3448 | 1 |
Goals
Real number (ℝ)
High correlation
| Distinct | 33 |
|---|---|
| Distinct (%) | 5.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 11.784848 |
| Minimum | 2 |
|---|---|
| Maximum | 37 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.3 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 4 |
| Q1 | 8 |
| median | 11 |
| Q3 | 14 |
| 95-th percentile | 23 |
| Maximum | 37 |
| Range | 35 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 5.9824539 |
|---|---|
| Coefficient of variation (CV) | 0.50763944 |
| Kurtosis | 2.3304577 |
| Mean | 11.784848 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 1.181335 |
| Sum | 7778 |
| Variance | 35.789755 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=33)
| Value | Count | Frequency (%) |
| 11 | 67 | 10.2% |
| 12 | 64 | 9.7% |
| 10 | 55 | 8.3% |
| 9 | 50 | 7.6% |
| 4 | 48 | 7.3% |
| 13 | 47 | 7.1% |
| 14 | 37 | 5.6% |
| 8 | 36 | 5.5% |
| 15 | 30 | 4.5% |
| 16 | 29 | 4.4% |
| Other values (23) | 197 |
| Value | Count | Frequency (%) |
| 2 | 9 | 1.4% |
| 3 | 14 | 2.1% |
| 4 | 48 | |
| 5 | 28 | |
| 6 | 20 | 3.0% |
| 7 | 25 | 3.8% |
| 8 | 36 | |
| 9 | 50 | |
| 10 | 55 | |
| 11 | 67 |
| Value | Count | Frequency (%) |
| 37 | 1 | 0.2% |
| 36 | 3 | |
| 34 | 1 | 0.2% |
| 33 | 2 | 0.3% |
| 31 | 3 | |
| 30 | 1 | 0.2% |
| 29 | 5 | |
| 28 | 4 | |
| 26 | 3 | |
| 25 | 6 |
xG
Real number (ℝ)
High correlation
| Distinct | 558 |
|---|---|
| Distinct (%) | 84.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 10.089606 |
| Minimum | 0.71 |
|---|---|
| Maximum | 32.54 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.3 KiB |
Quantile statistics
| Minimum | 0.71 |
|---|---|
| 5-th percentile | 2.2775 |
| Q1 | 6.1 |
| median | 9.285 |
| Q3 | 13.2525 |
| 95-th percentile | 20.5105 |
| Maximum | 32.54 |
| Range | 31.83 |
| Interquartile range (IQR) | 7.1525 |
Descriptive statistics
| Standard deviation | 5.7248437 |
|---|---|
| Coefficient of variation (CV) | 0.56740012 |
| Kurtosis | 1.2658161 |
| Mean | 10.089606 |
| Median Absolute Deviation (MAD) | 3.45 |
| Skewness | 0.95635774 |
| Sum | 6659.14 |
| Variance | 32.773835 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 11.62 | 4 | 0.6% |
| 3.33 | 4 | 0.6% |
| 6.19 | 3 | 0.5% |
| 6.11 | 3 | 0.5% |
| 11.12 | 3 | 0.5% |
| 14.51 | 3 | 0.5% |
| 8.56 | 3 | 0.5% |
| 8.7 | 3 | 0.5% |
| 9.39 | 3 | 0.5% |
| 11.09 | 3 | 0.5% |
| Other values (548) | 628 |
| Value | Count | Frequency (%) |
| 0.71 | 1 | |
| 0.8 | 1 | |
| 0.96 | 1 | |
| 1.03 | 1 | |
| 1.05 | 1 | |
| 1.12 | 1 | |
| 1.13 | 1 | |
| 1.31 | 1 | |
| 1.39 | 1 | |
| 1.43 | 1 |
| Value | Count | Frequency (%) |
| 32.54 | 1 | |
| 31.17 | 1 | |
| 31.05 | 1 | |
| 30.6 | 1 | |
| 30.52 | 1 | |
| 29.27 | 1 | |
| 29 | 1 | |
| 28.94 | 1 | |
| 27.32 | 1 | |
| 26.65 | 1 |
xG Per Avg Match
Real number (ℝ)
High correlation
| Distinct | 92 |
|---|---|
| Distinct (%) | 13.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.47616667 |
| Minimum | 0.07 |
|---|---|
| Maximum | 1.35 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.3 KiB |
Quantile statistics
| Minimum | 0.07 |
|---|---|
| 5-th percentile | 0.24 |
| Q1 | 0.34 |
| median | 0.435 |
| Q3 | 0.57 |
| 95-th percentile | 0.8605 |
| Maximum | 1.35 |
| Range | 1.28 |
| Interquartile range (IQR) | 0.23 |
Descriptive statistics
| Standard deviation | 0.19283132 |
|---|---|
| Coefficient of variation (CV) | 0.40496602 |
| Kurtosis | 1.9127398 |
| Mean | 0.47616667 |
| Median Absolute Deviation (MAD) | 0.105 |
| Skewness | 1.1766357 |
| Sum | 314.27 |
| Variance | 0.037183918 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.33 | 23 | 3.5% |
| 0.39 | 21 | 3.2% |
| 0.37 | 21 | 3.2% |
| 0.4 | 20 | 3.0% |
| 0.41 | 20 | 3.0% |
| 0.43 | 19 | 2.9% |
| 0.34 | 18 | 2.7% |
| 0.57 | 18 | 2.7% |
| 0.31 | 16 | 2.4% |
| 0.45 | 16 | 2.4% |
| Other values (82) | 468 |
| Value | Count | Frequency (%) |
| 0.07 | 1 | 0.2% |
| 0.09 | 1 | 0.2% |
| 0.15 | 2 | 0.3% |
| 0.16 | 5 | |
| 0.17 | 1 | 0.2% |
| 0.18 | 4 | |
| 0.19 | 2 | 0.3% |
| 0.2 | 1 | 0.2% |
| 0.21 | 4 | |
| 0.22 | 4 |
| Value | Count | Frequency (%) |
| 1.35 | 1 | 0.2% |
| 1.27 | 1 | 0.2% |
| 1.19 | 2 | |
| 1.16 | 1 | 0.2% |
| 1.12 | 1 | 0.2% |
| 1.1 | 1 | 0.2% |
| 1.08 | 1 | 0.2% |
| 1.06 | 4 | |
| 1.05 | 1 | 0.2% |
| 1.01 | 1 | 0.2% |
Shots
Real number (ℝ)
High correlation
| Distinct | 144 |
|---|---|
| Distinct (%) | 21.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 64.177273 |
| Minimum | 5 |
|---|---|
| Maximum | 208 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.3 KiB |
Quantile statistics
| Minimum | 5 |
|---|---|
| 5-th percentile | 14 |
| Q1 | 37.75 |
| median | 62 |
| Q3 | 86 |
| 95-th percentile | 124.05 |
| Maximum | 208 |
| Range | 203 |
| Interquartile range (IQR) | 48.25 |
Descriptive statistics
| Standard deviation | 34.941622 |
|---|---|
| Coefficient of variation (CV) | 0.54445476 |
| Kurtosis | 0.62646478 |
| Mean | 64.177273 |
| Median Absolute Deviation (MAD) | 24 |
| Skewness | 0.67615024 |
| Sum | 42357 |
| Variance | 1220.9169 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 65 | 13 | 2.0% |
| 21 | 13 | 2.0% |
| 18 | 12 | 1.8% |
| 55 | 12 | 1.8% |
| 52 | 11 | 1.7% |
| 81 | 11 | 1.7% |
| 87 | 10 | 1.5% |
| 56 | 10 | 1.5% |
| 80 | 9 | 1.4% |
| 54 | 9 | 1.4% |
| Other values (134) | 550 |
| Value | Count | Frequency (%) |
| 5 | 2 | 0.3% |
| 6 | 2 | 0.3% |
| 7 | 2 | 0.3% |
| 8 | 1 | 0.2% |
| 9 | 2 | 0.3% |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 7 | |
| 14 | 7 |
| Value | Count | Frequency (%) |
| 208 | 1 | |
| 197 | 1 | |
| 179 | 1 | |
| 178 | 2 | |
| 177 | 1 | |
| 170 | 1 | |
| 167 | 1 | |
| 162 | 1 | |
| 159 | 2 | |
| 152 | 1 |
OnTarget
Real number (ℝ)
High correlation
| Distinct | 79 |
|---|---|
| Distinct (%) | 12.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 28.365152 |
| Minimum | 2 |
|---|---|
| Maximum | 102 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.3 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 7 |
| Q1 | 17 |
| median | 26 |
| Q3 | 37 |
| 95-th percentile | 58 |
| Maximum | 102 |
| Range | 100 |
| Interquartile range (IQR) | 20 |
Descriptive statistics
| Standard deviation | 16.363149 |
|---|---|
| Coefficient of variation (CV) | 0.57687509 |
| Kurtosis | 2.365776 |
| Mean | 28.365152 |
| Median Absolute Deviation (MAD) | 10 |
| Skewness | 1.1562839 |
| Sum | 18721 |
| Variance | 267.75265 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 25 | 26 | 3.9% |
| 24 | 20 | 3.0% |
| 23 | 20 | 3.0% |
| 33 | 20 | 3.0% |
| 19 | 20 | 3.0% |
| 30 | 19 | 2.9% |
| 8 | 19 | 2.9% |
| 28 | 18 | 2.7% |
| 17 | 17 | 2.6% |
| 37 | 17 | 2.6% |
| Other values (69) | 464 |
| Value | Count | Frequency (%) |
| 2 | 3 | 0.5% |
| 3 | 4 | 0.6% |
| 4 | 3 | 0.5% |
| 5 | 12 | |
| 6 | 6 | 0.9% |
| 7 | 17 | |
| 8 | 19 | |
| 9 | 14 | |
| 10 | 10 | |
| 11 | 15 |
| Value | Count | Frequency (%) |
| 102 | 1 | |
| 99 | 1 | |
| 98 | 1 | |
| 95 | 1 | |
| 91 | 1 | |
| 87 | 1 | |
| 86 | 1 | |
| 81 | 1 | |
| 79 | 1 | |
| 78 | 2 |
Shots Per Avg Match
Real number (ℝ)
High correlation
| Distinct | 280 |
|---|---|
| Distinct (%) | 42.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.9480152 |
| Minimum | 0.8 |
|---|---|
| Maximum | 7.2 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.3 KiB |
Quantile statistics
| Minimum | 0.8 |
|---|---|
| 5-th percentile | 1.709 |
| Q1 | 2.335 |
| median | 2.845 |
| Q3 | 3.3825 |
| 95-th percentile | 4.54 |
| Maximum | 7.2 |
| Range | 6.4 |
| Interquartile range (IQR) | 1.0475 |
Descriptive statistics
| Standard deviation | 0.91490648 |
|---|---|
| Coefficient of variation (CV) | 0.3103466 |
| Kurtosis | 1.9853344 |
| Mean | 2.9480152 |
| Median Absolute Deviation (MAD) | 0.53 |
| Skewness | 0.94730205 |
| Sum | 1945.69 |
| Variance | 0.83705387 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2.47 | 8 | 1.2% |
| 2.86 | 8 | 1.2% |
| 2.75 | 7 | 1.1% |
| 2.6 | 7 | 1.1% |
| 3.05 | 7 | 1.1% |
| 2.22 | 7 | 1.1% |
| 2.65 | 6 | 0.9% |
| 3.02 | 6 | 0.9% |
| 2.49 | 6 | 0.9% |
| 2.26 | 6 | 0.9% |
| Other values (270) | 592 |
| Value | Count | Frequency (%) |
| 0.8 | 1 | |
| 0.81 | 1 | |
| 0.82 | 1 | |
| 0.85 | 1 | |
| 0.99 | 1 | |
| 1.03 | 1 | |
| 1.16 | 1 | |
| 1.2 | 2 | |
| 1.24 | 1 | |
| 1.27 | 1 |
| Value | Count | Frequency (%) |
| 7.2 | 1 | |
| 7.12 | 1 | |
| 6.32 | 1 | |
| 6.22 | 1 | |
| 5.99 | 1 | |
| 5.97 | 1 | |
| 5.89 | 1 | |
| 5.84 | 2 | |
| 5.67 | 1 | |
| 5.59 | 1 |
On Target Per Avg Match
Real number (ℝ)
High correlation
| Distinct | 184 |
|---|---|
| Distinct (%) | 27.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.3156515 |
| Minimum | 0.24 |
|---|---|
| Maximum | 3.63 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.3 KiB |
Quantile statistics
| Minimum | 0.24 |
|---|---|
| 5-th percentile | 0.72 |
| Q1 | 0.98 |
| median | 1.25 |
| Q3 | 1.54 |
| 95-th percentile | 2.241 |
| Maximum | 3.63 |
| Range | 3.39 |
| Interquartile range (IQR) | 0.56 |
Descriptive statistics
| Standard deviation | 0.4742393 |
|---|---|
| Coefficient of variation (CV) | 0.36045966 |
| Kurtosis | 2.2392119 |
| Mean | 1.3156515 |
| Median Absolute Deviation (MAD) | 0.28 |
| Skewness | 1.1809319 |
| Sum | 868.33 |
| Variance | 0.22490291 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1.25 | 13 | 2.0% |
| 0.94 | 12 | 1.8% |
| 1.28 | 12 | 1.8% |
| 1.21 | 12 | 1.8% |
| 0.96 | 11 | 1.7% |
| 1.3 | 10 | 1.5% |
| 1.29 | 10 | 1.5% |
| 1 | 10 | 1.5% |
| 1.11 | 9 | 1.4% |
| 1.26 | 9 | 1.4% |
| Other values (174) | 552 |
| Value | Count | Frequency (%) |
| 0.24 | 1 | 0.2% |
| 0.29 | 1 | 0.2% |
| 0.4 | 1 | 0.2% |
| 0.48 | 2 | |
| 0.5 | 1 | 0.2% |
| 0.52 | 1 | 0.2% |
| 0.54 | 1 | 0.2% |
| 0.55 | 2 | |
| 0.56 | 4 | |
| 0.58 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 3.63 | 1 | |
| 3.11 | 2 | |
| 3.04 | 1 | |
| 2.94 | 1 | |
| 2.9 | 1 | |
| 2.89 | 2 | |
| 2.85 | 1 | |
| 2.84 | 1 | |
| 2.83 | 1 | |
| 2.77 | 1 |
Year
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.3 KiB |
| 2019 | |
|---|---|
| 2020 | |
| 2018 | |
| 2016 | |
| 2017 |
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 4 |
| Min length | 4 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2016 |
|---|---|
| 2nd row | 2016 |
| 3rd row | 2016 |
| 4th row | 2016 |
| 5th row | 2016 |
Common Values
| Value | Count | Frequency (%) |
| 2019 | 200 | |
| 2020 | 160 | |
| 2018 | 120 | |
| 2016 | 100 | |
| 2017 | 80 | 12.1% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 2019 | 200 | |
| 2020 | 160 | |
| 2018 | 120 | |
| 2016 | 100 | |
| 2017 | 80 | 12.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 2 | 820 | |
| 0 | 820 | |
| 1 | 500 | |
| 9 | 200 | 7.6% |
| 8 | 120 | 4.5% |
| 6 | 100 | 3.8% |
| 7 | 80 | 3.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 2640 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 2 | 820 | |
| 0 | 820 | |
| 1 | 500 | |
| 9 | 200 | 7.6% |
| 8 | 120 | 4.5% |
| 6 | 100 | 3.8% |
| 7 | 80 | 3.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 2640 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 2 | 820 | |
| 0 | 820 | |
| 1 | 500 | |
| 9 | 200 | 7.6% |
| 8 | 120 | 4.5% |
| 6 | 100 | 3.8% |
| 7 | 80 | 3.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 2640 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 2 | 820 | |
| 0 | 820 | |
| 1 | 500 | |
| 9 | 200 | 7.6% |
| 8 | 120 | 4.5% |
| 6 | 100 | 3.8% |
| 7 | 80 | 3.0% |
Interactions
Correlations
| Country | Goals | League | Matches_Played | Mins | On Target Per Avg Match | OnTarget | Shots | Shots Per Avg Match | Substitution | Year | xG | xG Per Avg Match | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Country | 1.000 | 0.162 | 0.985 | 0.191 | 0.207 | 0.100 | 0.146 | 0.161 | 0.077 | 0.000 | 0.287 | 0.157 | 0.041 |
| Goals | 0.162 | 1.000 | 0.102 | 0.734 | 0.743 | 0.306 | 0.864 | 0.826 | 0.299 | 0.158 | 0.312 | 0.888 | 0.320 |
| League | 0.985 | 0.102 | 1.000 | 0.174 | 0.183 | 0.137 | 0.069 | 0.087 | 0.135 | 0.000 | 0.231 | 0.121 | 0.128 |
| Matches_Played | 0.191 | 0.734 | 0.174 | 1.000 | 0.978 | -0.080 | 0.791 | 0.825 | -0.009 | -0.033 | 0.326 | 0.752 | -0.114 |
| Mins | 0.207 | 0.743 | 0.183 | 0.978 | 1.000 | -0.093 | 0.796 | 0.835 | -0.014 | 0.031 | 0.334 | 0.766 | -0.112 |
| On Target Per Avg Match | 0.100 | 0.306 | 0.137 | -0.080 | -0.093 | 1.000 | 0.439 | 0.302 | 0.803 | -0.016 | 0.093 | 0.282 | 0.619 |
| OnTarget | 0.146 | 0.864 | 0.069 | 0.791 | 0.796 | 0.439 | 1.000 | 0.943 | 0.419 | 0.104 | 0.330 | 0.862 | 0.219 |
| Shots | 0.161 | 0.826 | 0.087 | 0.825 | 0.835 | 0.302 | 0.943 | 1.000 | 0.463 | 0.103 | 0.323 | 0.847 | 0.159 |
| Shots Per Avg Match | 0.077 | 0.299 | 0.135 | -0.009 | -0.014 | 0.803 | 0.419 | 0.463 | 1.000 | 0.007 | 0.000 | 0.318 | 0.567 |
| Substitution | 0.000 | 0.158 | 0.000 | -0.033 | 0.031 | -0.016 | 0.104 | 0.103 | 0.007 | 1.000 | 0.133 | 0.111 | 0.003 |
| Year | 0.287 | 0.312 | 0.231 | 0.326 | 0.334 | 0.093 | 0.330 | 0.323 | 0.000 | 0.133 | 1.000 | 0.288 | 0.079 |
| xG | 0.157 | 0.888 | 0.121 | 0.752 | 0.766 | 0.282 | 0.862 | 0.847 | 0.318 | 0.111 | 0.288 | 1.000 | 0.463 |
| xG Per Avg Match | 0.041 | 0.320 | 0.128 | -0.114 | -0.112 | 0.619 | 0.219 | 0.159 | 0.567 | 0.003 | 0.079 | 0.463 | 1.000 |
Missing values
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
Sample
| Country | League | Club | Player Names | Matches_Played | Substitution | Mins | Goals | xG | xG Per Avg Match | Shots | OnTarget | Shots Per Avg Match | On Target Per Avg Match | Year | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Spain | La Liga | (BET) | Juanmi Callejon | 19 | 16 | 1849 | 11 | 6.62 | 0.34 | 48 | 20 | 2.47 | 1.03 | 2016 |
| 1 | Spain | La Liga | (BAR) | Antoine Griezmann | 36 | 0 | 3129 | 16 | 11.86 | 0.36 | 88 | 41 | 2.67 | 1.24 | 2016 |
| 2 | Spain | La Liga | (ATL) | Luis Suarez | 34 | 1 | 2940 | 28 | 23.21 | 0.75 | 120 | 57 | 3.88 | 1.84 | 2016 |
| 3 | Spain | La Liga | (CAR) | Ruben Castro | 32 | 3 | 2842 | 13 | 14.06 | 0.47 | 117 | 42 | 3.91 | 1.40 | 2016 |
| 4 | Spain | La Liga | (VAL) | Kevin Gameiro | 21 | 10 | 1745 | 13 | 10.65 | 0.58 | 50 | 23 | 2.72 | 1.25 | 2016 |
| 5 | Spain | La Liga | (JUV) | Cristiano Ronaldo | 29 | 0 | 2634 | 25 | 24.68 | 0.89 | 162 | 60 | 5.84 | 2.16 | 2016 |
| 6 | Spain | La Liga | (RMA) | Karim Benzema | 23 | 6 | 1967 | 11 | 13.25 | 0.64 | 69 | 34 | 3.33 | 1.64 | 2016 |
| 7 | Spain | La Liga | (PSG) | Neymar | 30 | 0 | 2694 | 13 | 13.33 | 0.47 | 105 | 42 | 3.70 | 1.48 | 2016 |
| 8 | Spain | La Liga | (CEL) | Iago Aspas | 25 | 7 | 2354 | 19 | 13.88 | 0.56 | 78 | 37 | 3.15 | 1.49 | 2016 |
| 9 | Spain | La Liga | (EIB) | Sergi Enrich | 31 | 7 | 2904 | 11 | 8.25 | 0.27 | 64 | 26 | 2.09 | 0.85 | 2016 |
| Country | League | Club | Player Names | Matches_Played | Substitution | Mins | Goals | xG | xG Per Avg Match | Shots | OnTarget | Shots Per Avg Match | On Target Per Avg Match | Year | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 650 | Netherlands | Eredivisie | (AJA) | Klaas-Jan Huntelaar | 6 | 12 | 938 | 9 | 6.91 | 0.70 | 32 | 17 | 3.24 | 1.72 | 2020 |
| 651 | Netherlands | Eredivisie | (WIL) | Vangelis Pavlidis | 25 | 0 | 2265 | 11 | 12.64 | 0.53 | 70 | 31 | 2.94 | 1.30 | 2020 |
| 652 | Netherlands | Eredivisie | (EMM) | Michael de Leeuw | 26 | 0 | 2383 | 9 | 8.28 | 0.33 | 51 | 23 | 2.03 | 0.92 | 2020 |
| 653 | Netherlands | Eredivisie | (PSV) | Donyell Malen | 14 | 0 | 1245 | 11 | 8.91 | 0.68 | 59 | 32 | 4.50 | 2.44 | 2020 |
| 654 | Netherlands | Eredivisie | (RZA) | Haris Vuckic | 23 | 2 | 2194 | 11 | 6.00 | 0.26 | 38 | 17 | 1.65 | 0.74 | 2020 |
| 655 | Netherlands | Eredivisie | (UTR) | Gyrano Kerk | 24 | 0 | 2155 | 10 | 7.49 | 0.33 | 50 | 18 | 2.20 | 0.79 | 2020 |
| 656 | Netherlands | Eredivisie | (AJA) | Quincy Promes | 18 | 2 | 1573 | 12 | 9.77 | 0.59 | 56 | 30 | 3.38 | 1.81 | 2020 |
| 657 | Netherlands | Eredivisie | (PSV) | Denzel Dumfries | 25 | 0 | 2363 | 7 | 5.72 | 0.23 | 45 | 14 | 1.81 | 0.56 | 2020 |
| 658 | Netherlands | Eredivisie | NaN | Cyriel Dessers | 26 | 0 | 2461 | 15 | 14.51 | 0.56 | 84 | 43 | 3.24 | 1.66 | 2020 |
| 659 | Netherlands | Eredivisie | (PSV) | Cody Gakpo | 14 | 11 | 1557 | 7 | 4.43 | 0.27 | 38 | 15 | 2.32 | 0.92 | 2020 |